Your "Manual Workarounds" are killing your growth. I’m helping founders automate the "Un-automatable."
Hi everyone,
I’ve been following several 'Build in Public' journeys here, and I see a common pattern: Founders are spending 30% of their time building their product, and 70% of their time on manual data entry, fixing brittle scrapers, or chasing leads.
Scaling shouldn't feel like firefighting.
I’m an Automation & Data Pipeline specialist. I’ve seen systems go from 'total chaos' to 'fully autonomous' pipelines that 10x processing speed and cut costs by 70%.
What I’m offering to this group:
If you are currently building in public and stuck on a technical bottleneck—be it complex web scraping (getting past Cloudflare/403s), unstructured data processing, or lead generation workflows drop a comment with your 'Pain Point'.
I’ll pick 2 projects and record a 60-second Loom/Video demo showing exactly how I would architect the fix.
I’m not looking to be a co-founder, just looking to help a few serious builders get their technical foundation right so they can focus on shipping.
Let's see what you're building!
The manual workaround problem is real, but the root cause is usually missing structure rather than missing automation.
Before automating, most solopreneurs need a clear ops layer: which clients are active, which projects are in flight, what decisions have already been made and why. Without that, you automate chaos - fast.
The pattern I've seen: founders reach for Zapier before they've built the Notion/linear system that would tell Zapier what to actually do. Structure first, automation second. The founders who skip step one end up with elaborate automations that still require manual workarounds to make sense of.
Spot on! Automating a broken process just makes the mess faster.
As an automation developer, I always tell my clients: 'Structure is the brain, Automation is the muscle.' I've seen so many founders struggle with Zapier because their data flow isn't mapped out in Notion or a DB first.
My approach is always Structure First: I help them clean and organize their data points (the Ops layer) before I ever touch a line of Python. That’s how you build a system that actually scales without manual workarounds. Great reminder!